GIS + Remote Sensing + GeoAI Lab

This is a hands-on portfolio showcasing smart geospatial annotation, segmentation, and AI-driven mapping using open-source tools and remote sensing data.

---

I will be adding lab work for:

• Automated segmentation using Segment Anything (SAM)
• LiDAR point cloud annotation with PDAL
• Satellite image classification with PyTorch + TorchGeo
• Remote sensing visualization using geemap and Google Earth Engine (Python API)
• Digital image processing with OpenCV

---

Learning Sources

• AI for Good 2025 – samgeo workshop
• OpenGeoAI Workshop 2025
• geemap documentation
• PDAL Workshop
• Geo.University - DIP with OpenCV